How DeFi Remains Secure in a World of Always On AI Hacks: Uneasy Money

I'm Kane Warwick and welcome to Uneasy Money because what happens on Chain never stays on Chain.

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All right, I'm here with my co-host, Taylor Monahan, security expert, and a repeat guest, second time, uh, Austin Griffith of the Ethereum Foundation.

Um, it is April 8th, Wednesday.

Um, our first, uh, our first segment, so we got the right people in the room here for this first segment.

Um, I think the timeline has been going a little bit crazy for all of the mythos stuff.

Um, the Anthropic has basically said this model is too dangerous to release, so we have released it. to you.

Um, and, uh, I, I guess we should probably go through a few of the things that this model has been doing, right?

Um, it has, uh, figured out like 20 0 day.

Vulnerabilities in like decades old software, um, which feels a little bit like what crypto has been kind of going through for the past like, whatever, uh, you know, 6 months where, um, all of these old things keep getting hacked, and we're like, this thing's been on the chain for 4 years.

How is it possible that, uh, you know, we, we're in this position where, um, You know, Balancer V2 gets hacked, right?

And then Mythos is like, well, I've hacked OpenBSD.

And you're like, excuse me?

Like, uh, so, so it's just, it's kind of petrifying.

Um, so, yeah, I mean, uh, Austin, what's, what's your take on, on Mythos based on, on what you've seen so far, um, just generally, and then I guess in relation to all of the like crypto agent stuff you've been doing.

Yeah, I think, I mean, the crypto agent stuff I've been doing is very insecure, so that'll be the first thing to break.

But I think that like, uh, like I said, I think it's like we gotta rip the band-aid off like it's gonna happen, we gotta do it, you know, smart, but I think that we're, we're gonna see this, we're gonna see, uh, AI get so good that a bunch of hacks are going to happen and then not so many hacks are gonna happen happen anymore.

And I think the balancer one is the one that really sticks out in my mind like code that was around for 5 years.

All of a sudden gets popped for, you know, hundreds of millions of dollars or $100 million or whatever it was, like that's, that's scary and crazy, and I think we're gonna see that for a little bit and then not so much anymore.

But yeah, I'm, I'm ready to, to, to rip the band-aid off.

Let's do it in a bear market.

Um, so, so I think in crypto, we have a slightly different problem, and, and Tay, maybe, maybe you can address this, right?

Um, It is certainly awkward if you have 100,000 Linux servers and like, you know, load balancers are running BSD and it's like, uh, we don't want to take this thing down, because if we take it, you know, it's not easy to replace this architecture, right?

But it's just software, you can in theory, patch it, upgrade it, and like do a hot swap or something like that, right?

Like these are systems that are not necessarily designed to like, be immutable.

Um, What happens if Mythos is like, oh, you need me too, I've cracked it.

Yes.

That's gonna be a problem, a massive problem, and.

I mean, I think this industry has.

Realize this over time, that immutability is like freaking amazing in so many ways, but also quite impractical, um, and, and creates risk and I think this was actually a, a big conversation during the drift hack immediate aftermath because all the Ethereum people were like, just don't have keys, don't have upgradable contracts.

I get it, but at the same time, like, I'm not convinced that we are.

I'm, uh, if I'm gonna, if you're, if you're launching something today, I'm not going to bet that it's perfectly secure forever.

I'm sorry, like I can't think that Uniswap is, uh, the counterexample to this that has given people more hope than it probably should, would be my like hot take on this, right?

Like Uniswap is amazing software, but like it's like one function.

Like, it literally, like, it just rebalances the thing, right?

Like, it, it, you know, it is not a super complicated multi-contract, smart contract suite, like, you know, it, it's like, for what it is.

And yet, like, my confidence to its unhackability has gone down significantly over the last like 48 hours, right?

Like, if, if, you know, people, like, these are things, these are, these are pieces of software that are securing, like, Billion dollar systems with people getting paid tens of millions of dollars a year to secure them.

And of course, Uniswap has had this giant bug bounty.

If you can hack it, then, you know, like, so, so it's not like we haven't had, uh, you know, security pressure in, in the ecosystem.

Um, but it's a different level, like a different level, different scale to what some of these systems have had.

And yet, There's like 0 days in them.

So, um, I, we talked about this, we talked about this like maybe a month ago, Tay, right, where I was like, how confident are we that someone doesn't have.

Uh, really smart, like fine-tuned model that they've been working with that's like systematically going through and like.

Breaking these smart contracts, like, given what they've said about Mythos, does that change your perspective on the last like, Couple of months of hacks, or you think it's still just a coincidence and it's gonna get much worse?

No, I don't.

Well, I, I do think it's gonna get worse for sure.

I think we're in trouble, um, but I think, I still think, OK, Mythos is like, it's a level up, um.

And I think that they have.

It seems like they've specifically been thinking about security and been like, like the people that really know this stuff have been zoomed in on, on the security elements, right?

The exploit elements, the safety elements that come with the security elements.

Um, it, it wouldn't, I mean, obviously there are going to be people who are like just random people that are doing the same things, um.

How far they've gotten and how, like, what's the most productive use of those things.

I feel like.

I feel like it's not, uh, I don't think we're at the point where they've like honed it in so completely that they can just like let, let it loose, right?

Let their little hacker cloud loose on whatever, um, but I do think that we've seen like AI assisted, right, where the AI is identifying things or speeding up those feedback loops, right, because when you're fighting these exploits, you have to like.

Uh, there's like so many different sort of stages of finding the exploit.

You have to like hold all this data or you before you had to like hold all this data in your head and like understand it, and then even once you figured out like this is a weakness, you then had to execute it, right?

You had to actually put together the series of steps that would do it without fail.

I definitely think that we've seen AI like.

Rapidly like assist with with some of those stages.

I think mythos is scary because it sounds like they're like this like I'll just go hack you.

You don't even need it's not assisting you anymore.

It's doing the thing, right?

Yeah, exactly.

And that's what scares me, especially because Uniswap is also unique in the sense where they do have, it's a protocol, it's low level, right.

They do have a huge bug bounty on it.

Most of like the core software that runs this world.

Is not built by.

By people with million dollar bug bounties, right, it's like, yeah, that's why I think this is gonna be worse for web 2 than it is for web 3.

I think that like even though we have like money right behind, you know, one line of code.

Someone joked that like the wes contract got hacked, right?

Like when, when there is just like a smart contract that has a deposit and a withdrawal function is basically like you're, you're talking about like hacking the protocol at this point if, if there's something that goes wrong there so I feel like, but sorry, Austin, like are we not as well like, you know, we like validators like I mean.

This is the more complicated piece, right?

Yeah, like validators are, are, are, and like that would be, I don't even know, like, or even just say, hey, mythos, buddy, I've got some interesting news for you.

There's this thing called Mev.

And if you can like, just listen to this stream of transactions and just tweak it a little bit, we can make a lot of money.

And mythos is like, yeah, I love, I love breaking things.

Let's go.

I do think, yeah, so, we're talking about breaking things and making a lot of money and then MEV is just like being smart about ordering transactions and just like playing the game of, of like the mempool.

I think there's a ton of money to be made by just like running these awesome frontier models.

I, I, I don't know what we'll see.

I think it's gonna be really interesting.

I think, so I, I love Uniswap.

I think Uniswap is beautiful and it's like really isolated versions and it's not upgradable, like the way that Uniswap V2.

Functions is like this beautiful hyperstructure and if V3 gets popped like V2 probably won't and if V2 gets popped, V3 probably won't like there's not a lot of like cascading things that can happen from from system to system so.

I, I don't know.

I think it's gonna be worse for web 2 than it is for web 3.

And I think that in web 3, there are people who have deployed their systems and done tons of bug bounties and tons of audits, and I think that's going to be good for them.

But of course, like we saw the balancer thing and the balancer thing really changed my mind.

That was when I was like, oh gosh, like that's shit.

This thing, yeah, this is dangerous, and, and, you know, that was.

Very unlikely to be mythos, realistically, right?

Like that was very unlikely to be mythos.

That was probably a dude with opus, yeah, yeah.

So, so I think the other thing that's interesting about Mythos, like, you know, just zooming out above the like security risks and all of that stuff that, that we see.

Um, this is the first time that we've seen, at least to my knowledge, right?

Like we've seen like, you know, early previews, but like most of the time, they just let the thing out in the wild.

They're not that scared of it, that they're like, uh, we'll like, give it to people, you know, and like, if you read, they, they released the, uh, the agent card, right?

It's like this like 200 page document that says all the things they did and like, basically us covering.

So when it like burns the world down, they can be like, no, no, no, we tried to like, stop it from doing this.

Um, so, so they, they, um, You know, for previous models, they give it to researchers, they give it to a bunch of people, they do a whole bunch of things before this thing gets out in the wild.

They do internal testing, etc.

This is the first time, at least to my knowledge, that I've seen a model that's so smart that they're so scared of it, that they're like, we need to give this to a small group of like 12 partners, so, you know, AWS, Apple, um, uh, Nvidia, the Linux Foundation, etc. um, and Say you're allowed to use this kind of for security purposes for the next however long.

I, I, I don't know if I saw how long, um, uh, until it finds all the bugs, but like they gave it also, you know, how expensive is this thing going to be as well because they gave them $100 million worth of usage credits.

Now I'm An inference enjoyer myself, but that's a lot of that, like, it would take a lot to burn through $100 million in credit.

So, I'm like, I think they're just imagining these guys are gonna run automated loops.

So, you know, 11 thing that kind of begs the question of is like, um, uh.

Boris Kearney, um, had a really good podcast, uh, a couple of weeks ago where he was like, you should be building for the model, like, we, internally, we build for the model 6 months from now, right?

Not for the model today.

So, it's 6 months from now, and the model is Mythos, right?

Um, which could be anytime in the next few weeks.

Um, and all of the things that we've been building around, like harnesses and loops and things, it, all of that stuff could just fall away cause Mythos is smart enough that it's like, no, no, it's like, You don't need to put me in a weird, like, looping thing, bro.

I can just like, you know, do this, uh, for two months straight or something, right?

You know, cause one of the, one of the things is like this long-running activity, you know, uh, kind of frontier as well, right?

Like, that, as the models get smarter, they can do things autonomously for longer without losing their minds and, and you stay on task or whatever.

Um.

If Mythos can just sit there and like read the entire, like, Open BSD codebase for two weeks, autonomously, like, uh, like, obviously, it's gonna be very expensive, but it also means that a lot of the stuff that we've been doing around, like, trying to get agents to do what we want and not drift, just sort of disappears, right?

The, the harness is getting, like, I spend a lot of time going back and forth between like using frontier expensive model, and then like, how do I do this in a cheaper way?

And how do I use the frontier model to build like a more advanced harness that then can be used on a cheaper model to do the same thing.

And it's like using the frontier model to then like grade how well the, the, the cheap model does.

But it's all about like cheap stuff, right?

Like what you're saying is basically they'll, they'll give us mythos and it will cost me, you know, $100 for one request, but it will one shot Uniswap V2.

And it will make no mistakes, right?

And so I think that is what's coming, right?

And that's really interesting.

And we, we've seen this in AI for like years now, right, where they were making like all these like, you know, specific things that could do text to image to text and, and things like that.

And then like a generic model comes out and the generic model can just like look at the image and do it better than any of those hyper-specific models.

So I think we're, we're always gonna have like this generic model that's hella expensive but really good, and then we're always gonna be kind of like working backwards, building our own harnesses and trying to find like cheaper ways to do the thing that the expensive model can do.

And it's, it's funny going back and forth between it because it's always like, oh my gosh, this is amazing.

Oh my gosh, it's so expensive.

How do I like lean back on something cheaper and then you you The cheaper one for a little bit.

You're like, oh my gosh, this is so freaking stupid.

Why is it doing this?

And then you go back to spending money and like, I'm constantly oscillating between these two states.

Well, so, so I think there's two things here, though.

One is, um, this is the last time we had a new, at least in anthropic land, right?

Like we had Codex, uh, which was, you know, late last year, but Opus, um, first came out like middle of last year, is my recollection.

Um.

But it was not great.

Like Opus 4.5 was not great.

Like I was using Sonnet 4.5 to write most of the code.

I've been, I haven't written a line of code for like two years, right?

And it's been mostly like.

A lot of, uh, you're absolutely right and a lot of apologizing and a lot of working backwards, but the, the real turning point was Opus 4.5.

Sorry, maybe I said that wrong, 4.4 was bad.

Opus 4.5 in November was the real inflection was the one that like went across the chasm into like, oh this thing's better than me at this, at this thing, right?

So, so, you know, 4, 4.1 came out, Opus 4, And, and they changed the model name, you know, like, uh, Anthropic has done some weird model naming things over, over the years, right?

Where like, um, Sonnet 4.6 was supposed to be the next version of Opus.

It was supposed to be Opus 5, right?

But then they've got Mythos now, so you can't really keep track of all this stuff.

But it has been a while, and I, I do remember, um, When I started using Opus, and I was like, oh, this thing is actually like super smart, right?

Like relative to the, the baseline of, of, you know, that, that period of time.

Um, uh, before that, I've been using like um 03 Mini, 04, 04, um, like OpenAI and those things were like, really dumb, right?

Like really, really dumb.

Um, But so this is the first time that we've seen like a big model leap as well.

Like, you know, they need a new name for this, it's so much smarter than the old one, and the needing a new name thing is like, oh, it's a little bit of a harbinger of like, uh, shit's gonna get crazy, right?

And the name they use, right?

Like Sonnet is like a poem, and Opus is like a body of work, and Mythos is like the lore of the whole world, like, yeah, yeah, exactly.

Yeah, so, so I think, I think, you know, like they're scared of it.

Um, we have clearly like they're petrified of this thing, right?

Like, um, so, so they must have some really good NDAs in place as well because we haven't seen too many leaks from people inside these orgs, right?

Like they're, they're doing something to kind of lock this down clearly, um, so.

They also, uh, I think the other interesting thing, um, is that like, We We've seen every time that a new frontier model comes out, like Haiku today is as smart as like Opus 4.1 is, right?

Like, different context, different constraints, but like it's super smart.

It's actually really good.

And I mean, to your, to your point, Austin, like, um.

With the right prompting, you can get Haiku to do stuff that previously would have required Opus, right?

Like, so the interesting thing now is how this shifts the cost curve, right?

Because at the moment, you've got, um, uh, you know, when, when Opus first came out, it was like $75 per million tokens, and now it's dropped down to like $25.

Um, and it's got a $1 million context window.

It's, so the prices have been collapsing.

So we have to assume like Mythos is gonna come out, it's gonna be $100 per million tokens or something like that, right, or $200 per a million tokens, or something insane.

Um, but what that will also do, I think, is push the cost curve down, so that now probably Sonnet is the same price as Haiku.

And Haiku might be like, Almost free, right?

And so now that like, you know, where in the cost curve you're optimizing becomes really critical for certain tasks, because if you can get Haiku to do it.

It's like subscent per interaction, and now all of a sudden you've got a really scalable thing that like previously wasn't scalable, right?

So, this is the other challenge, I think, in, in, you know, even if you're building stuff for yourself, finding that like optimal point.

So how have you been thinking about, like, you, you say you're like, go back and forth between like the smartest guy, the dumbest guy, like, how do you think about this in, in the stuff that you're working on?

It's, so, it's a lot of like using Opus to build, like using the general-purpose model first.

So like I have a smart contract platform called Left Claw Services where people can hire it to build apps or audit things or add a feature to an app.

And I just have like a general purpose agent that's using Opus and a little sonnet and it'll go to the smart contract, pull down the job, and just do the job.

And it's very good.

But then it's like, frick, that was $20 or something like that.

How do I get that down to $5?

And then it's like, well, it's doing, you know, I'm, it's, it's funny you see like Kanye pulled up to McDonald's in the giant lifted truck, and it's like using Opus to, to do whatever, like using Opus to do a get pull on a repo.

Like you pay, you pay $1 to pull a repo down because you're using Opus to, to do that.

It doesn't make sense.

So then it's like, OK, let's lean back and figure out like where do I actually need Opus.

I need Opus when I'm writing the smart contract and when I'm auditing the smart contract and maybe a little bit of front-end stuff, and then I can use Sonnet for some of the front-end stuff, some of the documentation, and then I've been using Minimax M2.7 for like almost everything else, almost all, all the things that are just like go run this program, go do this, and it messes up every once in a while.

That's a local model that you're running.

It's not, no, no, no, it's it.

I think it will be, but it's not.

It's like, uh, through, I use it through Banker, but you can use it through a bunch of different, uh, but it, it is like an Olama model, but I don't think it's something that is released yet.

It's one of those, yeah, where it eventually we will be local, but right now it's like in on someone else's machine, but it costs like 100 of what it costs to do with Opus, and it's pretty good, you know, it's a little weirder now and then, but, uh.

Yeah, it's, it's OK.

So, so it's like I'm always leaning back on that and I'm trying to work through like, You know, what costs $20 here?

How do I get it down to two Opus calls with just the right and, and context is important too, right?

When you're having this ongoing conversation, the context is building and building, each call, each consecutive call is getting more and more expensive.

So, what you wanna do is kind of have like that consecutive call, that conversation to be over in like Minimax M27 land, where I'm paying a fraction of a cent each time and it grows to be like, you know, 2 pennies over the whole conversation.

And then, when I go to make that Opus call, have Mini Max give me just the context I need.

Like, here, here is the exact context you need to write this smart contract.

And here are the three things that you kind of do wrong sometimes and have that all in a very isolated window and have it just like one shot the contract.

And then maybe you use Sonic to say, you know, like, here's the 3 auditing rules, and here's the contract.

So it's, uh, I think it's it's just like fine-grain, right?

So you use the general model and you do the thing and you get it to work, and you almost get like product-market fit.

And then you go back to, you know, making the, the whole company more efficient after you have product-market fit.

So, so let me ask you this, right?

Like, that, that kind of, you know, all of the things you've been doing, you've been building a bunch of projects, and, and, you know, I want to talk about e-skills for, for a second as well.

Um, but, um, Doesn't all of that kind of optimization lend itself to like building a thing that auto switches, models and stuff, like, have you thought about that?

Like what, like, we don't really have anything like that yet, where it just adapts to what you're doing and.

There are some, I think.

I think maybe claw router was one of them that came out right about the same time I was doing my cloudbot stuff, I think claw router, but there's a couple of these like routers where it looks like uh, an, an open AI grade standard endpoint, and you hit it, and then there's a little inference model in the middle there that says, you know, how, how technical, how hard is this question, and then it sends it to the right model based on that.

It's slow.

It doesn't work.

I, I, I, I haven't like done a bunch of claw router stuff to know like exactly if it's that good or not.

But for me, like I've tried a couple of different things and like trying to do some triage on the way out and back in, and I've found it easier to just let the generic model do the thing and then go back through and look at like, here's all the steps, let's break into the steps and let's break it into which of these things is going to be easy and hard.

And then from then on, kind of.

Having it more hard coded, I guess is what we're thinking.

It's more like a hard code triage process versus uh, a dynamic triage process, but like this is the future, I think.

I think you will have a local model running in your VRAM that can triage the stuff on the way out and then go to frontier models based on how, you know, complicated the question is, it's routing it, it's yeah, yeah, eventually, yeah.

But I don't have that working right now.

It's all hard coded, yeah, so I have, I have a, uh, luckily before, before the, you got like a 512, right?

I do.

That's amazing.

I've got a 512, uh, gig max studio and I've played around with a bunch of models, um, there.

I've, I've actually got a bunch of old MacBook Pros as well.

I spent like two weeks trying to get an XO cluster running, um, and I finally got it running.

It's got like 800 gigs of RAM, and it's just so slow.

Exactly.

You say that you wait forever.

You make like 10 queries to Opus while you're waiting for one to come back like, you know, you think Kodak 5.4 is slow.

This thing is like, just, like, molasses.

And so it's, it's too slow to be kind of worthwhile.

I need to, I need to hook up.

I need to try and like speed.

This up, basically.

Um, but I've also found that like the local models have been getting better and better, especially specialized models, like using a specialized model.

Um, but the other thing that I think is super interesting is like, these skill files that are starting to emerge, right?

Um, it's like the Matrix for agents.

And so the experience that I had with these skills, like, you know, you were on the show, you talked, I built these skills, and I'm like, I've seen humans over 2 years go through the like Austin Griffith, like, you know, like, and, and get much better, right?

It's just, it's like a, a very slow process, and you're like, oh, this guy is like smarter, smart contracts now after like 2 years of reading these documents, right?

The agent, you literally pull down the skill file.

This is like the craziest thing, right?

I was like, hey, bro, like, there's an e-skill thing, you should, like, look at it, right?

And, and Opus was like, yeah, sure, whatever, I'll have a look at it, pulls it down, and then it was just, like, instantly, like, One shot and it was it was crazy how much, cause, you know, the thing, the thing is, like, All of these models know about crypto.

It's in their training data, right?

Like they know about crypto, but they have like a cursory knowledge that's like just enough to be dangerous, right?

Where it's like, oh, I know how to do this thing, or I know how to do this thing, um.

Each skills just like hones it down to like a fine art, where like, all of a sudden, they know all of these like very nuanced things about like how contracts work and deployments and stuff.

Um, so, so, you know, you, I haven't, what I haven't tried, I'm curious if you've tried this, like, if you give Mini Max or, or like even like an even dumber local model that you've tried, ET skills, like, Is it fine-tuned enough that like set of skills that they can actually do a good job or is it still kind of too hard?

I wouldn't put money in it yet.

It does some good stuff.

I, I, so the, the stuff that my cloud, like cloudbot has deployed smart contracts using, using e-skills that have like a quarter of a million dollars in it right now.

Like Tay, Tay is gonna hate this.

I, I have deployed like through my bot deployed contracts that no human has looked at until they're already on ether scan that have a quarter of a million dollars in them right now like that like there's probably like 350, 400 total US dollars in token.

Across all the like 80 or 90 contracts my my bot has deployed so uh I'm, I'm, I'm using the frontier we found you a new target myth Austin.

I was about to say how do we get Austin access to this?

Yes, yes, yeah, I, yeah, I think we should give like Danny Ryan access first if I have to give it to someone, right?

Like let's get the protocol guys first and then some of the, but, but, OK, so the, the skill files.

First of all, like, if you out there are building anything and you're expecting agents to use your anything, you should have a skill file.

And the skill file kind of does this like I know kung fu thing, exactly like you're talking about, like Neo in The Matrix, they, they plug him in, they hit a couple of buttons, and the dude knows how to fly a helicopter or whatever, right?

And it happens instantaneous, and this is what you're doing.

You, you, you're, you're giving the model all the things it needs to know.

And it's basically the delta between its training data and reality, and these models were trained like on a lot of 2023 data.

Like it's just stuff happens so fast in, in crypto land that you have to kind of fast forward it through all the things that have happened and that's what a good skill file is.

Yes, well, is the safest rip rip balancer, man.

That's too bad.

Yes, yes, and, and they also think it costs $40 to deploy a contract on Ethereum, and they think, uh, there's a handful of things that they just like hallucinate, and they always do this.

They're always, they're so lazy and pattern matching and hallucinating.

Like they could go look, like you could do one web request and come back and have the answer, and it's like, nah, bro, I don't wanna look it up.

I'm just gonna like guess at the route and then hit the route and see if it works.

Like, oh, why are you so lazy?

But, OK, so skill files, you, you out there, if you're gonna have agents.

Using your shit, you should have a skill file for it.

It should be whatever your website is.com/skill.md.

And it's just like the, the robots. tech stuff.

And for a while we did LLMs.text, but skill.md is kind of like the, the canonical route now.

So everything, everyone, everyone that's building anything that even humans use right now that agents will do on behalf of humans, like your flight tracking website should have a skill.md because Because really soon, we're gonna have AI agents, uh, travel agents that are doing all this stuff for us.

And these skill files get them over that, that delta of, you were trained in 2023, here's all the stuff that has happened since, you know, it's almost like waking them up and programming them with all that, like they were in a coma or something, and it's like, here's what you missed over the last two years.

And then it's really good, like you said, at one-shotting smart contracts, knowing what the latest tools are, knowing where to go to look things up.

And, and then, OK, so, I used an agent to help me write a skill file.

And this is, this is like a first mistake that you have to be very careful with because if an AI is hallucinating this stuff from their own context, sort of like from, if, if they know it by heart already, it doesn't belong in a skill file.

So you have to do this like constant phase of interrogating each piece of knowledge inside your skill file to make sure that the agent doesn't already know.

It when you wake it up.

So there's this process of just like feedback looping where I'm having the agent take any little piece of knowledge, check to see if the LLM actually knows that, and then remove it if it knows it so we're not polluting the context.

And then the next like loop outside of that is then use the skill file, give it to an agent, tell it to go build something, see where it screws up.

Oh, you, you, you deployed the contract, but you didn't verify it on ether scan.

Why didn't you verify it on ether scan?

And then there's this whole like you have to interrogate the agent and you get to the bottom of it and it realizes like it was lazy.

It, it like knows how to do it, but it just didn't want to, right?

If you could just have a skill file that says don't be lazy, that would be great, but it's just not gonna do that.

So you have to be like really strict about certain things, and it's, and it's like almost if, if you read through each skills, it reads like.

You, you are gonna mess this up, and here's how you don't mess it up, and it, and it's like you mess, you always get this wrong, don't get this wrong, do it this way, and it's like a whole document, you always find an agent that's like, not me, bro.

Like like, you're like, no, no, no, no, like, so I've got a, so, so I got a funny story about this, right?

So like I've got 8 skills, um, that's, that's in, uh, in my system so that all the agents can, you know, pick that up, right?

Um, and, you know, agents are just like people, right?

Like, and, and this, this story is like one of those ones where you're like, It's just found the exact same failure mode that we always find, right?

So we have been, um, building all of these agentic tools at Infinex for a while now, um, and I've been tuning one to do like DG yield farming, right?

Concentrated liquidity farming on aerodrome.

So, I, I have an agent, it's like a cluster of agents, right?

Like it goes out and it looks at all of the yield farms at the moment, and it like, does some backtesting and sees, OK, this is a good opportunity, I'm gonna go and do this one, right?

So, it, um, has a hard rule that it has to simulate the transaction with Blockade before it does it, right?

Um, and so, every transaction before it does it, it simulates the transaction, right?

So like stimulates the deposit, simulates the staking, simulates all these things.

So, it, it one shots a, like 5 transaction, 4337 bundle, right?

It bundles up all these transactions, which is like, we, as people are like, oh I should do transaction bundles, but I'm too lazy to do it.

And these things are like, oh no, it's fine, I can totally.

So it like, does the swap from, uh, it, it swaps from um main net to base, one shot that, then it creates this bundle and like does all of these intricate swaps or whatever, gets the, the um NFTLP token, right?

And it had already known that it couldn't bundle it because it needed the ID and so it was like, and it's like, you're, you're getting more and more confident that this guy knows what he's doing, right?

That's when they trick you, yep, yeah, like you, like they, they trick, it's like magic, magic, really dumb, yeah.

So then, so then the agent goes, OK, my next job is simulate the staking transaction of this NFT.

So, it simulates the transaction, um, it fails on the second step.

And the failure is, you're not the owner of this NFT, right?

Um, and the reason why it gets that failure is because it hasn't authorized the NFT to be transferred yet.

It missed a step, right?

And it knew it was supposed to do this, but it misses the step.

And it goes, oh, OK.

This is not the optimal way to stake the NFT in the gauge.

The optimal way is safe transfer from.

So I'll just work around this and I will do safe transfer from into the gauge and it does it and I was like, and it's gone forever and it's like sitting in the gate and like, and it's funny because you go to the gauge and what do you find there's like a couple of people that have sent some stupid shit in there, yeah, like, and like $1000 of, of USDC or something, yeah, yeah, exactly, um, and I was like, I was like.

How did you get this wrong?

Like, you're supposed to simulate it, and it's like, yeah, I did, I did simulate it, it didn't work.

So then I stimulated the safe transfer from, and that did work.

And so I was like, this is the right, and you're just like, oh man, like.

What are you doing?

Anyway, so, so the funny thing is, now I'm like, OK, you, if you're ever doing a staking operation, like, so this is like this iterative process of tweaking the skills and, and so now it has a rule, it has to stimulate being able to get the money out.

That simulate the whole round trip.

If you are sending a token somewhere, you cannot do it until you're, until you can prove that you can get it out of the contract, right?

And it's like, oh yeah, that's actually a good rule.

I should have.

And, and so that needs to go in a skill file, right?

The, the way each skills came about is me doing the same iterative process of building, finding something really dumb, telling it it's about to do something really dumb and not to do it, and then just like keep doing that until it quit doing most of the dumb things, and it was like, hey everybody, here's a skill file.

But what you need, you need to write like a skill file for base defile or something like that, or even like this, this process of Trying transactions and making sure the, the tokens in equal the tokens out like that should probably be some kind of, and, and there's a lot of people doing this too, which is cool.

And a lot of them just in the crypto world, this is, this is another thing that a lot of people that I talked to, uh, ECC.

They're fascinated with the fact that people are writing these skill files, which are basically a business.

Like you, you, you can take a skill file and not give it to anyone and make a lot of money off of it.

And instead, like people are choosing to give these skill files away and it's really their secret. sauce like the, the skill file, it was actually Mic radar relay that said this.

This wasn't even ECC, but anyways, the skill file itself is the, it's the secret sauce for the whole company and you're giving it away and it's just kind of like what we see in crypto is people just like figure things out and give them away freely.

But yeah, yeah, because it's so cool to see what happens.

Like that's the, why would you keep it a secret, you fools?

Like you're gonna have like 1000 people in this little stuck in the same contract.

They can go be friends, or you could just share.

Like, come on guys, what are we doing?

I agree you should share and I'm giving mine away for free at eatskills.com.

You just tell your agent to go to eatskills.com and it has it.

It learns and this is, this is the crazy thing, right?

Like it makes an agent, like, you know.

IQ 60, right, about crypto to like IQ 140 in like what, but, you know, part of the problem I think that everyone has right now is like, each skills could be a pile of slop.

There's no way to know from first principles.

Like, you could look at it and like, you see, you know, people like post things on Twitter and they're like, oh, I've built a, like, looping genetic algorithm that improves they're ping, yep, there's so many people that are LARP, yep.

And it's like, no, no, no, like, but so, you know, signal from noise is still a hard game, right?

There's a lot of noise and, you know, there's a lot of eat skill files that you could download, right?

And like, you have to somehow know that, like, actually Austin's.

Chewed enough loss to like get the skills.

There's a lot of software out there too, right?

Like when, when it means running NPX, I, so the, the iteration of Eth skills before this was called Eth Wingman, and it was an MCP server that would do a lot of this stuff.

But as soon as I released E Wingman, Twitter flagged it, and other people flagged it because it had like a little one-liner in there that you run.

It was like an actual MPX command.

And you don't wanna do that these days.

Like, don't be running random NPX commands.

And that's why these skill files are so cool because you can give just a link or you could give just like a text file to an agent and say, you know, go to Eskills.com.

Don't learn anything from it.

Just tell me if it's nefarious or not.

Like, just go to Eskills.com and tell me if it's good or not, and it can tell you, like, oh yeah, it's actually, it's actually all good.

Like there's nothing nefarious here at all.

And then it's like, OK, like learn it.

Let's go.

But you can't do that with an MPS.

I found 10 vulnerabilities, right?

It's just a text file.

It's all just a bunch of MD files.

Like the, the website is built by a computer to be read by a computer.

Um, so, so, uh, let's, let's move on to our next segment.

Um, anthropic, uh, wild, and, you know, Uh, I've probably been in crypto too long because I just, uh, kind of find these nefarious intentions in all of these things.

Um, but, uh, but before we go to, to, uh, open, open claw being cut off by anthropic, let's, let's do a quick commercial break and then we'll come back and, and talk about that.

Um.

Let's go.

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All right, we're back.

Um, so, so Anthropic has been playing this game with, ever since Openclaw came out of like, locking things down, um, you know, uh, kind of closing these loopholes of you can use Open Claw with your anthropic account, right?

Um, and, and I think, you know, for, for people who either like haven't worked in a company where, where you have a different setup or they've been doing like their own thing, most people are kind of used to, you pay for a $25 a month subscription or a $200 a month subscription, or a $500 a month, or, you know, multiple subscriptions.

And you have like a um rate-limited access of, you know, however many tokens they give you, right?

At like different times.

And, you know, so you're playing.

This game of like, you, like, it almost feels like the early internet of like, I've only got 50 megs of downloads left.

What am I gonna, you know, and I'm gonna be capped out, and then like your internet goes slow or, you know, whatever, right?

Um, so, so I think most people are in this boat of, I have a, you know, chat GBT subscription, I can use it this much, or I've got like a cloud subscription.

Um, but What Anthropic wants is for you to be using an API gated account where you have like, you know, a specific API or multiple API keys that you are using, and it is all kind of, you know, on tap inference and you're paying per, per call, you know, via APIs, right?

So, um, I'm curious, your setup, Austin, like, are you, Using, you know, API mode, or are you mixing and matching with, with accounts, like how, how do you manage all of this as anthropic has been kind of closing the door on using your anthropic account in other software outside of Cloudcode?

To be honest, I'm kind of dumb and I was using the API like I thought they shut it off months ago or like a month ago.

I feel like at the beginning of February, they did like the first step in doing this where my open class started getting mad and couldn't use the API, I couldn't use the subscription, right?

So there's There's kind of like two models.

There's the subscription, and then there's the API.

And if you're using it through the API, it's metered like you're saying.

And if it's under the subscription, you just have like so much per hour and per week and it resets.

And it's a lot cheaper through the subscription and it's super expensive through the, the, the, the API.

And I switched to API a while ago.

Uh, but I switched to API and also started doing things like Mini Max 2.7, and I mean there were, there, there were, there was like an $800 day one day, and I think this, this we should talk about is like comes down to if I just tell the bot to keep building forever, like don't stop, like just come up with an idea and build.

It, it can cost like $1000 a day, right?

But, but it builds all this slop.

Like it's all like these dumb like apps like you're not gonna build like a protocol that we're gonna put on chain that people are gonna put money into over and over and over again 20 times in, in one day.

Like we, we've reached the point and I think last time I was on, uh, you said something like I, I feel bad when it's not running.

You, you sort of like have this, like, I wanna just like kick it off and have it running all night.

And, and I had the exact same feeling at the time because it felt like it was magic and it felt like every moment it wasn't running, it was like, not good.

But now it's like, not really.

Like, it's a, it's a, it's a cost thing, and I know it's gonna cost me about $10 to build a smart contract app.

So I need to like think through like what is the smart contract app people are going to use.

It felt, it felt like this abundant resource and then you're like actually it's not abundant.

Yes, yes, but, but in fairness, right, and, and I think you know.

We, we were talking about this, uh, earlier in the week before as we were prepping for the show, right?

Um, you asked the question of like, you know, do I feel, uh, a sense, that same sense of like, oh, I'm not running things.

And interestingly, I I do, but in different directions now, right?

So like, 11 of the things that I've been doing, um, because I'm building all of these prompts and, and building and trying to tune the system, right?

Um, I, I need to optimize the cost.

Optimize the latency, um, optimize the accuracy.

And so I've got all these like optimization vectors, right?

Um, and so one of the tools that we've been building internally is like a crypto knowledge base, right?

Um, and, and so I've built a tool, and, and so, like, I think to your other point, right?

Um, Going broad and building like 20 slot things ends up like just burning you out, right?

Because you have to switch context and you're like, oh, this thing, and then how does that work?

And, you know, so, I, I think as, as we've started to make more progress internally at Infinite, um, it's been me more focusing down like a narrow pathway, right?

Um, but what that's meant is, We've got this tool, um, that has a giant crypto knowledge base, right?

It has like all of the docs from every protocol.

It's just like pulled all of these things in.

Um, it turns out that like, uh, models are very good at scraping, weirdly.

I wonder why.

I wonder where they learned that, right?

Uh, but they're really good at going on, yeah, so you can like, you can, so one of the things.

That I built is like, it hits Delai Lama.

We have, we have Delai Lama APIs.

It hits Delai Lama, um, gets a list of all of the top, you know, 100, uh, protocols, um, yield generating protocols, and then hits Coin Gecko, finds their, uh, docs website, goes and pulls all the docs down, goes and pulls the ABIs, and And like pulls it all together so that it knows about all these smart contracts, right?

Um, what's really interesting is I built a tool that was like a harness for testing how good the different models were with different data sources, right?

So you can run the same model, including local models, including, you know, cloud models, and go, hey, I'm going to ask you a question.

Here's where you can get the answer, right?

And you can use like Grok search, you can use uh Brave uh web search, you can use your training data, you can use uh this knowledge base, right?

And so I've been like testing and, and fine tuning that.

And What's been interesting though, is like, this is not an inference problem, like, I'm not letting an agent churn over it.

What I've been doing is running like auto research loops, where it's like, this knowledge base has a bunch of data in it.

How do I optimize the agents to search for the data?

And so I'll run these like experiments where it's like, You know, return 2 documents, 5 documents, return this many snippets, like, you know, and, and figure out like the optimal place.

Um, and it's not really using inference, it's literally just like this kind of random walk search function to, to improve, um, the prompts, improve like the searching, uh, etc.

And so, I've kind of gone away from like optimizing just spending money on inference to like, Optimizing, spending less money on inference so that the things can be smarter without, and so I think that like, There's been so much discussion around like auto research and like these, you know, uh, like self-improving loops and, and all of those things, which are like, not necessarily.

Agents doing that, right?

Like, it's actually just like discrete software and it's like running a loop and, and testing the thing.

Um, so I, I do think that like, that, and it's quite funny, like you asked this thing, uh, I was, I was showing my guys, and I was like, which came first, Velodrome or Aerodrome?

Right?

And, and it's like when you actually have this thing in front of you, um, if you ask Grok for fast, right, it's like, Are you fucking kidding me?

It's velodrome.

Velodromes were invented in 1782.

And like, and it's so confident.

It's like, I like, and it's like aerodromes are like, and, and so, and then, and then you go, you go, OK, um, now, Like, use like the latest, you know, uh, Grok search tool, like you can search uh X, and it's even more confident because it gets a bunch of tweets about it.

And it's like, this tweet in the history of aerodromes, the history of velodromes, and then the knowledge-base guy that goes to the knowledge base is like, Uh, Velodrome was invented in 2022, August 12th, like, and it's like autistic level, like, the contracts were deployed here, and it's like contextualizing the thing and like telling it where to search.

Um, same model, same level of intelligence, but like, give it the right skills to understand.

Um, but in their training data, if it's anything in the training data, they're so confident, like so incorrectly confident, it's like hilarious.

Yeah, that's OK, so like memory is huge, right?

And that this recall, go ahead, go ahead.

OK.

No, I was just gonna say I've had this experience so many times where I'm like, all right, I got you, and then, and then it comes back and all of a sudden, yeah, I'm in like the 1800s, and I'm like, sorry.

OK Motherfucker, I am an Ethereum person.

I have only ever talked to you about like Ethereum security and threat actors.

Why are we in the 1800s?

What are you doing?

And then I'm also like, and you just burn tokens on this.

You must.

Yes, definitely always.

I've researched the 1800s.

Here's what I know about it.

And you're like, no, never researched the 1800s.

The, the confidence level is, is killer, right?

And I hate that.

Like I, it's like it will confidently do some of the dumbest stuff and then Uh, open claw will just like lobotomize itself if it tries to work on its own config file, and this is like my setup is more like I'll use cloud code or even cursor to edit the open claw config file because it's so bad at editing its own config file because they somehow just didn't prepare the thing to edit its own file for some reason.

It seems like that would be like it doesn't have a skill file for itself.

It should, it should absolutely have a skill file for itself, and it doesn't.

Like if I was hired at Ova cloud.

That would be the first thing, and I bet they have done this at this point, but I just like quit using it to edit itself because it was so bad and it would just be dead.

It'd be like, OK, I'm, I'm gonna hit, you know, edit this file, and then it just goes dark and you're like, yeah, with a spoon.

Yeah, yes, exactly, yeah.

And then he just like falls over.

Yeah, exactly.

You gotta go and like get someone to shock him awake.

And he's, and then he's back and, and then he's like so confident they're like, OK, now I'm gonna do this.

Like, wait, wait, wait, no, stop.

You just did something really bad already.

Like don't continue.

Yes, so you, you were asking me about my local setup about, you know, the subscription and then the API, and this is where I use the subscription for everything.

I, I, I have anytime I'm gonna do like general work where I'm working on a thing, I use my cloud code subscription.

Anytime I'm like, you know, working on something brand new, working on a hard. working on, so like getting, I, I get Left claw.services working, which is like my services app where I have product, it doesn't really have product-market fit, but fake product-market fit, you have people like hiring it to build apps.

And then I just have like the generic model like building these apps, but it's doing everything and it's super expensive.

And then I go back to my subscription and I build out a harness that can go do that stuff automatically using the API.

And I'm using like the banker API so then it's like, it can It can use my own tokens to pay for the inference for my bot to do its job, which is really nice too.

Yeah.

So it's like, I have the subscription, and I can do like all my general work and all my like, you know, daily driver stuff, and anything that's heady, complicated, or new.

And then I can lean back on the API for things that are like processes, like, there's a bot that's in the chat for the token.

There's like a token gated chat.

And that bot is running off the API, not on the, the subscription.

So it's like everything I can, can run on my daily driver is subscription-based, and then everything else is just API and, and more expensive, right?

And, and so, so, you know, anthropic, and this is where I say like, you know, I start inferring, you know, malice in, in things because I'm just wanna make money.

I'm jaded from crypto, right?

But like, the, the, I think there's two things here.

One, Despite how expensive the API, you know, metered usage tools are, you have to imagine they're I'm making money on this, right, um.

But then the, the subscription is even more subsidized, right?

And so, like, in theory, you know, people, like I, I know people that have like 5 subscriptions and they like rotate between them, um, because, you know, you're paying, let's say it's the $200 a month subscription, you're getting $1000 worth of what would, what would be $1000 if you did it through the API.

Like, of course, people are gonna game that, right?

And, you know, if you're in a company, you're probably like not gonna bother to do that, you're just gonna use the, the API, but like, um, you know, it's like a 5 or 10x savings in, in some cases, um, you know, to, to do, and so, of course, anthropic's like, oh, you know, what if Boris Cherney was like, Uh, the subscription was not made for this use, and it's like, come on, bro, like, surely you don't think we're that dumb.

Um, so, so I, I think, um, I think it's gonna be, uh, it's gonna be, um, interesting to see like how all of this plays out because, you know, you have.

You have a new model coming out, it's gonna be even more expensive, even more subsidized.

You know, do they like have a new tier?

It's $1000 a month or something.

Like how do they balance this like, you know, cost structure?

It's, it's, but it's gonna be, I feel like it's gonna be like, like mobile phones used to be, at least here in the US, right?

Like back in the day, the new, you got your cell phone, the very first cell phone, right?

It was like you had your minutes.

Your minutes, your SMS, and then when internet you had like 100 megabytes or the 200 megabyte plan or whatever it was, right.

Over time, the competition, but also like the, they were still like really innovating on the infrastructure level at the same time, right?

Because it was like the internet was not really rolled out at all.

So they're like building towers and you know what I mean, uh, and then they also really hadn't nailed the back then the uh like the devices and the partnerships and stuff.

It was like they were trying to, they were trying to use the profits of you buying your, your cell phone subscription, right?

To build towers to be better than the other guys, um, and over time that changed, not necessarily because it got like remarkably cheaper, but like the competition, the deals, the way that they're making money, where people were finding things were valuable, right, all comes down and now it's like, dude, when I think back to like my high school days where my mom was like.

You like, cause it used to be if it was like after here it was after 10:00 p.m. you could talk on the phone for free or free minutes and, and I would like, but my bedtime was 10:00 p.m.

And so like I would like get on the phone with like the boy at like 9:56, but then my mom would be like, we're so tight and your father had a work call and you're using 4 minutes.

You have to wait.

And I'm like, but mom, if I wait, I can't talk to him because then it's 10, you know what I mean?

That's so funny.

I feel like that's exactly where we are right now, but we'll get back.

Yeah, it's like this weird cobbled together thing where you've got like, you know, and, and we had a conversation internally because we have a bunch of people that are on, uh, chat GBT subscriptions, right?

Like just the subscription, they don't even have API keys, and we can't even track what they're doing.

Like we don't, like, on some, on some level, like, you know, there's no way to know what the usage is to even say, like, should this person be upgraded?

You just, they hit a wall, and they're like, it stopped working.

And we're like, oh, OK, we have to upgrade you, but like it's a bit like we're like there's no visibility, it's just, it's like chaotic, um, and also I feel, I feel like some of that.

I feel like some of this decision is that they also have a certain amount of insight into like what people are doing and like where that insight comes from, but then you also have like you have the layers, right, like the companies and the team plans and all this stuff.

I do feel like part of the decision is not strictly a cost profit one, but uh like.

People don't have insight, but then that lack of insight also, like, two things happen.

One is that like.

People don't, they don't have insight, so they don't realize that they're doing these really expensive things.

The second you're aware, you actually get way better at like policing yourself, um, and then the other thing is that I do wonder if there's like a lot of threat actor activity.

There's a lot of people that are trying to just steal the models.

There's a lot, you know what I mean, and I'm just wondering if we're seeing more cases of.

Uh, that sort of activity happening on stolen accounts now that they've gotten better at blocking, like, right, like anthropic themselves is blocking the activity much better than they were before, but the next places they, they, they'll hit, right, is like first they'll create their own accounts.

Anthropic's like, oh shit, figures out how to whack those.

The next step is they start taking over accounts, and I'm wondering if part of the.

Uh, if it's like this collision of just so many things happening at once, and you know, every time the US government sends them like a big ass request for data on these threat actors, anthropic's like, What the hell, you know what I mean?

I mean, so, so, uh, one thing that I saw, um, that was doing, doing the rounds, um, that sort of speaks to how chaotic anthropic must be internally, right?

Like, you know, we're attributing malice, and they're like, actually, bro, we didn't build this thing because we didn't know how this was gonna work.

And so, um, one thing that I saw was their, uh, uptime charts.

I don't know if you guys saw it.

There was like a, a graph, and it's like 89% uptime.

It's like 0 9s.

Like one of my guys, dude, it's crazy.

One of my guys was like, they have hit 19, and now they've actually gone below 19.

They're like 89% of time.

And in web too, like 5 9s is what you're looking for, by the way, yeah, yeah, like 5 9s, and they're like, no 9s, we've got 8.

We've got some 8s, 78s.

Um, that's crazy.

Yeah, so, so really, woo, it's like they, you just have to imagine you're like the anthropic DevOps guy.

I was about to say they every time they hire a new DevOps guy, that bro walks into the anthropic office is like you guys are a disaster and you suck.

Unacceptable.

And then immediately after like a day it's like, OK, shit, but if we can just get one more, we'll keep the 8, but we, we just need one more 9 and then they have to go do this.

I guarantee you this has happened like on a monthly basis for the last 6 months and then that gets fired because Mythos takes over and just does the Mythos like you imagine Mythos walking into its job as the anthropic DevOps guy that day and he's like what.

I mean, you wanna talk about arrogance, dude, like the anthropic models versus like an experienced DevOps guy going head to head is like.

I've, I've been doing this.

I've been letting my, I let my agent do all my DevOps now.

So this is, this is something that I was a big DevOps guy.

I love Docker.

I love spinning up infrastructure.

I thought like, OK, you know, the models will start doing all the coding.

I'll still get to do the fun DevOps stuff.

I don't, nothing like it, it's building a thing and it needs a database, and I'm just.

Like, bro, get a database, and it's like I, I don't know the password or the username or the endpoint for my database.

The thing just knows it.

If, if I need to change a record in a database, I have a conversation with the Telegram person, and it goes and changes the record.

Like I know nothing about my DevOps.

It's crazy.

So, so, um, one of the things that I've been.

Experimenting with is RunPod.

Um, so RunPod is like, and there's a bunch of these, but it's basically, it's like, they've separated the GPUs and the server kind of infra.

So you can have like a docker container style thing or like a VPS that's sitting there, like a little computer that is waiting to be connected to a brain, right?

And you can kind of like switch it off or on, you know, because these things are really expensive.

It's like $3 an hour for uh an H200, right?

Um.

I, so I, I built all of this info.

I was talking about the like search function, and it needs inference, it needs GPUs to run, um, and it was just running on my Mac Studio, and I was like, I can't, like this is crazy.

I need to put this somewhere.

And so I pointed my, uh, agent at it, and I was like, I need you to deploy this on Runod.

And it did a thing.

That back in the day would have been 4 days of like pain and suffering and reading docs and getting the cold wrong and like, you would have just been chewing broken glass, and like, just like, it would have been terrible for like 4 days, and then you would finally, and this thing was like, da da da, it is done.

So cool.

And just, it's crazy, like, they're so good at DevOps, it's not.

So, yeah, I, I agree with you.

I used to have fun, like, trying to deploy random shit and like testing stuff out, and then now it's like, it's not worth it.

It's just, like, it's so much better than me at this.

We like operate at a higher level of abstraction now, like we're all the idea guys and it's idea guys summer.

And then mythos is like, your ideas are terrible.

Yeah, not, not even that, yeah, you're replaced.

Stop, stop thinking about things.

Did, did you guys see that the, OK, so we were talking about memory.

Memory is super important.

Like the early versions of Open Claw would just forget something.

You'd be mid-conversation with it, and it would be like, Austin, I forgot what we were talking about.

Or, or you would be like moving money like, OK, we need you.

You do, you've written and audited your own vesting contract.

You're about to move $100,000 worth of the token into it.

And then instead of moving the money, it sends a tweet that's like a copy of the same tweet it sent before.

So like memory is super important and having the right context is super important.

Did you see that the, the, the 5th, the, the 5th element deployed her own, uh, she was working with someone else, but yes, Mila, Mila Jovich or whatever, yeah, yeah, yeah, like it was a scam.

I did not have that on my bingo card.

No, I saw someone.

I saw someone who like deconstructed it, yeah, and it was like 6 commits or, yeah, something like got the grifter or whatever, like he's like hacked into her email and like set up a GitHub account to pretend to be her or something.

Is that really what's happening?

So she's not even involved at all.

I, that's what I, I, that's what I saw.

So I don't know.

I I just read the headline.

I was hoping, man, the fifth element creating a perfect storage is, is such a good story.

Um, but yeah, I mean this, this is one of the challenges is like people have started to do these like LARPy so I've, I've solved the, you know, optimization vector of blah blah blah and like they, and the problem is they can slop something up that like at first glance looks pretty credible, right?

Yeah, there's like a GitHub and everything, yeah, like there's a lot like you can't like the level of effort required to like stand up a thing that looks.

Like, a credible piece of software is like, pretty low.

And so these guys are like, oh, I built like a recursive self-autonomous reinforcement loop that, like, uses genetic algorithms that I'm like, What?

And it's all running on my 32 gigabytes of VRAM on my Mac Mini, like bullshit.

Yeah.

All right, um, this has been awesome.

Thank you very much, uh, for coming on the show again, Austin.

I have one question.

If Mythos comes out and it's leaked to or it's given to 12 different companies, will we see a hack on Ethereum?

I mean, because like we see, we see insider trading, right, we see like polymarket, we, we see people like front running freaking wars on polymarket right now.

Like if someone can front run like the like a set of bombers going to a place, like we're probably gonna see companies front run and make money by hacking something on.

Interesting question.

Is there a mythos market like on polymarket or will myth or when, what will be the first mythos hack on Ethereum or something like that, um.

We shouldn't encourage one, get, get Shane.

Let's set up a whole bunch of them.

Yeah.

When will mythos first hack Ethereum, um, so, so yeah, I think, uh, I think like, you know, it's just, uh, it's a matter of time, but you have to hope that in this like early period they've thought this through enough that they've like locked these guys in like a. secure room with like the Linux kernel and they're like, you, you only get to bring one DVD of software in here.

That's it.

No USB keys, no anything like you bring like burn one DVD and bring it in and we can assess it.

The story about the thing jailbreaking itself, getting internet access, and then sending an email to the guy while he's having a sandwich in the park.

That's such a great story.

Like there's, there's no containing it.

It's just, it's gonna figure it out.

Too smart.

Whatever you have done, it's like stop thinking like I'll take care of it.

Like you're like, hey, I've got a good idea, and it's like it's a bad idea.

Idea, but you were directionally correct, but I'm going to say you're like, OK, thanks, bro.

Um, all right, so, uh, yeah, thanks again.

We should, uh, we should do this again cause the, the world is moving fast and yeah, it's, it's, uh, it's hard to keep track of all this stuff.

Um, thank you everyone for joining us.

Um, remember what happens on chain never stays on chain.

We'll be back next week.

Until then, do your own research before I begin.

See you guys later.

Heart's hearts.

Hi guys.